Claude Sonnet 5 cost & VRAM calculator
What does Claude Sonnet 5 cost to run for your workload, and can you run it on your own hardware? Set your workload below - we compute per-provider API cost live and tell you honestly whether local hardware can run it.
This is where owning stops making sense
Claude Sonnet 5 is a large-billion-parameter model. No rig an individual can buy runs it - so unlike a workstation GPU model, there's no break-even to compute. The honest answer for nearly everyone is the per-provider API cost below.
Proprietary dense model from Anthropic, the mid-tier workhorse of the Claude family. Parameter count is undisclosed. Native 1M-token context, knowledge cutoff 2025. Adaptive thinking is on by default and can be disabled at high effort or below; effort levels run low through max. Modalities: text, image, and PDF input; text output. Pricing: $2/1M input, $10/1M output. Agents on Rails benchmark (Aug 2026, Le Mans round). 69.8% accuracy on 63 runs - the weakest Anthropic result recorded (the family ranges 92.1% down to 69.8% across the 16-model field). Notably, Sonnet 5 reaches for the right Rails API more often than Opus 4.8 (25.4% vs 15.9%) yet finishes six runs behind at twice the time (8m 11s vs 3m 36s median) - better recall does not buy the result. At $0.59 mean cost it is a cost-efficient Anthropic option, but the score is a reminder that recall is not accuracy.
Your workload
API cost for your workload
| Provider | Rate ($/1M) | Monthly cost |
|---|---|---|
| Anthropic may be stale | $2.00 in · $10.00 out | $0.05 cheapest |
| DigitalOcean may be stale | $2.00 in · $10.00 out · $0.20 cache | $0.05 cheapest |
Monthly cost is an estimate from list prices and your workload - verify against the provider before committing. Cached fraction applies the cache rate to that share of input.
Can you run it locally?
Claude Sonnet 5 has no published quantization that fits a rig one person can buy, so there's no local-hardware recommendation and no break-even to compute. The honest answer is the per-provider API cost above.
Proprietary dense model from Anthropic, the mid-tier workhorse of the Claude family. Parameter count is undisclosed. Native 1M-token context, knowledge cutoff 2025. Adaptive thinking is on by default and can be disabled at high effort or below; effort levels run low through max. Modalities: text, image, and PDF input; text output. Pricing: $2/1M input, $10/1M output. Agents on Rails benchmark (Aug 2026, Le Mans round). 69.8% accuracy on 63 runs - the weakest Anthropic result recorded (the family ranges 92.1% down to 69.8% across the 16-model field). Notably, Sonnet 5 reaches for the right Rails API more often than Opus 4.8 (25.4% vs 15.9%) yet finishes six runs behind at twice the time (8m 11s vs 3m 36s median) - better recall does not buy the result. At $0.59 mean cost it is a cost-efficient Anthropic option, but the score is a reminder that recall is not accuracy.
See the model card for the full architecture notes and any cloud subscription plans.